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Visual inspection software(co) - List of Manufacturers, Suppliers, Companies and Products | IPROS GMS

Last Updated： Aggregation Period:Feb 04, 2026～Mar 03, 2026
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Visual inspection software Product List

151～179 item / All 179 items

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[AI Image Inspection Case] Inspection and Recording of Product Presence After Packaging Work

[AI Image Inspection Case] Inspection and Recording of Product Presence After Packaging Work

After packing the products in the warehouse, we will inspect them for any shortages and record the results in a CSV!

We have received inquiries about our inspection software from shipping companies as well. After packing products in the warehouse, they are considering incorporating an image recording process into the workflow to leave evidence that there are no missing products. Our inspection software is being utilized in various industries. By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to determine the pass/fail status of the number of items divided into six areas in 0.39 seconds. If the condition is normal, the detection of the specified color above the reference value results in a "pass" judgment. The left image shows the settings screen, while the right image displays the inspection results table. As for the recording method, it is possible to save the results as images or record them in CSV format.

  • Visual Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Verification of Print Defects

[AI Image Inspection Case] Verification of Print Defects

We will verify the printing defects using AI image inspection software!

We received an inquiry from a company that produces labels and POP materials, and we will verify the printing defects. First, we asked them to visit our company for an explanation of our inspection software, leading to a simplified verification process. Our company also accommodates web meetings for those who cannot visit in person. To prevent the work's backing from lifting and affecting the inspection, we pressed down on it with a transparent glass plate while taking photos. If we took photos with the backing still lifted, we detected many discrepancies compared to the master. We covered the "comma" in the print with black to eliminate it and used the "comparison with master" feature of EasyInspector when it reappeared for verification. As a result, we were able to detect the comma. Since the detected value was less than 10 pixels, which is very small, if we want to detect such defects, we need to be careful about the position of the sample when placing it (to minimize misalignment) and avoid detecting discrepancies due to changes in lighting.

  • Visual Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Detection of Bent Connector Pins on Circuit Boards

[AI Image Inspection Case] Detection of Bent Connector Pins on Circuit Boards

The AI image inspection software detects bent pins of connectors on circuit boards and similar-looking counterfeit products (different items)!

We received an inquiry from an electronics manufacturer who is trying to create a simple inspection jig by linking a general-purpose camera and a general-purpose PC at the lowest possible cost. They want to detect issues such as bent pins on circuit board connectors and mistakes in ROM installation using a camera, and we have accepted their request for preliminary verification. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we detected 31 differences and were able to determine visually similar items (different products) in 3.85 seconds. However, there are conditions. We verified the deformation of the connector as "large." The bending of the pins was created by us, but the deviation in the tip position due to bending is likely to be significant (over 1mm). For the inspection of the connector's "lock" state, since the normal "lock" state was unknown, we initially reported the detection by comparing it to the open state. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Connector Insertion Inspection

[AI Image Inspection Case] Connector Insertion Inspection

The AI image inspection software detects missing connectors and makes pass/fail judgments!

This time, we received an inquiry from a lighting equipment manufacturer. As the demand for inspection automation due to labor shortages has been increasing year by year, there are various types of image inspection systems. Based on over 2,000 successful implementations, our all-in-one image inspection software, themed "easy operation for on-site users," is steadily increasing its implementation results. 【Inspection Settings and Results】 As a result of verification with the sample provided, it was possible to inspect for missing connectors. We created a simple fixture using blocks for the inspection. The field of view was set to accommodate the entire workpiece, and we used EasyInspectors for the "presence or absence of specified color inspection." This time, inspection frames were set at four locations. The left image shows the master image that was set. The light blue and red areas are for misalignment correction. The right image, "Detection Frame 002," shows a failure indication in red because the cable was not inserted. The blue frame indicates a passing detection frame.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Metal Etching

[AI Image Inspection Case] Inspection of Metal Etching

Detecting and judging small defects in metal etching with AI image inspection software!

This is an inquiry from an electronic component manufacturer primarily engaged in the production of printed circuit boards. They have requested a simple verification of metal etching processing. Inspection of fine defects can be conducted meticulously using enlarged images. Our company has contracts with agents in Malaysia and China, and sales are also possible. We have also received inquiries from Japanese manufacturers whose products are manufactured at overseas offices. 【Inspection Settings and Results】 Using EasyInspector's "Comparison with Master Image" function, we focused on the smallest defect among the 12 workpieces you sent. We divided the inspection frame into multiple sections and performed shift correction for each to minimize the detection of noise. However, the inspection time takes about 15 seconds. To shorten the inspection cycle, we suggest using multiple cameras or lowering the resolution. However, reducing the resolution may affect the detection capability (stability) of extremely small defects.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Screw Presence Inspection

[AI Image Inspection Case] Screw Presence Inspection

The AI inspection software detects and evaluates two-colored screws in the image.

When inserting screws, whether they are positioned correctly has a significant impact on the completion of the product. I considered whether this confirmation could be done using image recognition software. [Inspection Settings and Inspection Results] There are six holes within the field of view, and among them, four holes have silver screws, while two holes have black screws, which is the criteria for passing. Therefore, for the areas with silver screws, we use EasyInspector's "Color Comparison Inspection" feature to compare with the "Master Image" to check whether there is a silver screw in the designated inspection frame. For the areas with black screws, we used the "Presence of Specified Color Inspection" in the "Color Comparison Inspection." The area without a screw appears as a clean circle in black (background), while when a screw is present, it takes on a triangular shape, allowing us to inspect how many pixels of black are in the inspection frame. By setting passing criteria for each inspection frame, we were able to recognize the four silver screws and the two black screws.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspecting color changes when treated with chemical solutions.

[AI Image Inspection Case] Inspecting color changes when treated with chemical solutions.

We will inspect the color change when treated with a copper-colored disc using AI image inspection software!

In the electronic components manufacturing process, there is a step where a copper-colored disc with a diameter of 300mm has an area of about 3mm on its outer circumference treated with a chemical solution, resulting in a color change. During this process, there were abnormalities where the chemical solution was not being dispensed properly, leading to untreated areas, as well as cases where the width that should have been treated was not processed correctly. As a solution, it was considered that using image processing software would allow for more accurate and quicker inspections than visual checks. 【Inspection Settings and Results】 Using the "Presence of Specified Color Inspection" function of EasyInspector's "Color Comparison Inspection," we checked whether the chemical solution was being dispensed correctly, and using the "Dimension Angle Inspection" function, we verified whether the width that should have been treated was processed correctly. The field of view captured about 1/4 of the disc, and since the difference between the copper color of the disc and the changed black color of the chemical solution was clear, we were able to conduct accurate inspections.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Text Inspection of Silk Screen Printing

[AI Image Inspection Case] Text Inspection of Silk Screen Printing

We will conduct inspections for issues such as missing text in silk screen printing through image inspection!

You sent us photo samples of defective conditions that occasionally occur in the silk printing process. Is it possible to introduce inspections for issues like missing characters in silk printing through image inspection? This is a consultation regarding that. We will conduct a simple inspection for "missing" and "fading." By using the "comparison with master image" function of EasyInspector, we were able to conduct the inspection. We performed verification on the sample with the smallest visible defect among the samples we received. As a result, under limited conditions (*), we were able to detect the defect of missing characters. However, outside of those conditions, due to the nature and shape of the product, we mistakenly detected many areas that were not defective. *The limited conditions refer to when the inspection was conducted by focusing on one specific area of the printed part, so if we try to operate under the same conditions, the inspection range will likely be quite limited.

  • Visual Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Inspection for Missed Paint Stripping

[AI Image Inspection Case] Inspection for Missed Paint Stripping

We will identify the painted areas and the stripped areas, and check for any oversight in removing the paint.

This is an inquiry from the manufacturer of air pumps. This time, we will check the possibility of missing paint removal. Our company, SkyLogic, has a track record of over 2,000 image inspections. We have published numerous inspection cases for metals, plastics, food, electronic substrates, pharmaceuticals, etc., so please check our case search tool to see if there are similar cases to the inspection you are considering. 【Inspection Settings and Results】 We conducted verification using the samples you sent. We were able to distinguish between the painted areas and the removed areas, so we believe that the inspection for missed removal is feasible. We also think it is possible to inspect the sides simultaneously and confirm the presence or absence of marks and labels. However, in both cases, it will involve inspecting multiple surfaces, and positional shifts may affect the inspection, so we believe it is necessary to fix the position of the workpiece using jigs or similar tools. (If the inspection is only for one surface, the shift correction function can probably be used.) The left image shows the imaging environment. The right image shows the settings.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Defect Inspection on Plastic Product Trays

[AI Image Inspection Case] Defect Inspection on Plastic Product Trays

We will conduct a missing parts (counting) inspection of the components in the tray using AI image inspection software!

Due to the burden of counting small parts at a plastic parts manufacturer, we are requesting verification for automation of the counting process. This falls within the expertise of EasyInspector. A simple verification can be conducted by sending images. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, we were able to inspect parts in 24 trays in 0.93 seconds. The left image shows the inspection settings. The right image indicates a misjudgment of the background color in the detection frame. Although you sent a 5-megapixel image, detection is possible even with a camera of about 1.3 megapixels for this type of inspection; reducing the pixel count will shorten the inspection time. If it is not necessary to identify (record) the locations of missing items, we can enclose the entire set (24 workpieces) within a single inspection frame. If the background of the inspected items is a transparent tray, placing a white paper underneath will enhance the contrast between the workpieces and the background, allowing for more stable and accurate detection in a shorter time. In the inspection settings, the report is configured with "Automatic/Default" for offset correction. If stable positioning can be achieved with jigs or similar tools, setting the offset correction to "None" will further reduce the cycle time.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] LED Lighting Inspection on Circuit Board

[AI Image Inspection Case] LED Lighting Inspection on Circuit Board

We will conduct inspections of LED lighting on the circuit board using AI image inspection software.

Samples were sent from the comprehensive processing manufacturer. A simple verification was requested to determine whether the brightness at "DC14.4V is OK" and "DC9.0V is NG" can be distinguished. It was requested that if even one LED is dim during the inspection of multiple units at once, it should be judged as NG. 【Inspection Settings and Results】 We conducted an inspection to verify the brightness difference by powering at DC14.4V and DC9.0V, and we are reporting the results. The inspection was possible using the "Presence/Absence Inspection of Specified Color" feature of EasyInspector. We adjusted the lens aperture and exposure time for imaging and conducted the inspection in an environment where differences were easy to discern. By making the entire circuit board the field of view and setting inspection frames for each LED (30 units), simultaneous inspection was possible, allowing us to output which LED was NG. This time, we set the entire circuit board as the field of view and verified by applying power to one LED. The left image shows the pink inspection frame. The right image displays the green pixels detecting the specified color, while the blue color indicates the inspection frame that passed.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Matching of Printed Label Numbers

[AI Image Inspection Case] Matching of Printed Label Numbers

Our inspection software includes the basic functionality of saving inspection results in CSV and image formats.

The sports equipment manufacturer has been using our inspection software overseas for some time. This time, we have questions regarding the settings for "matching numbers on label printing," "smudge detection," and "checking for the presence of instruction manuals." We have agents in Malaysia and China, and we also sell inspection software for use in overseas offices. Our inspection software includes basic functions for saving inspection results in CSV and image formats, which are useful for product management across various industries. [Inspection Settings and Results] By using the "comparison with master image" function of EasyInspector, it was possible to inspect the codes and prints on 16 labels in 0.28 seconds. In image inspection, the imaging environment is the most important factor. Regarding the reasons for a dark screen during inspection, please check the following: whether there are fluorescent lights near the inspection target (this is the most common external influence); whether there are moving machines (if there are motors using electromagnetic forces, such as AC servo motors, noise may occur); and whether there is a 100V switch (which can generate electromagnetic noise).

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] LED Lighting Determination

[AI Image Inspection Case] LED Lighting Determination

The AI image inspection software determines the pass or fail of 48 LED locations.

This is an inquiry from a metal processing manufacturer that has already implemented our solutions. They are engaged in various business developments and will conduct a simple verification of LED lighting inspection this time. In the free sample evaluation, we will first perform a simple verification using the samples or images provided and report the verification results. During the simple verification, we will evaluate whether the desired detection/judgment can be achieved using our internal equipment. If detection or judgment is possible in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, where we will evaluate processing time and judgment accuracy. If feasibility verification is to be conducted, you can choose to continue with us (for a fee) or use our loaned equipment for verification at your company. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" function of EasyInspector, it was possible to determine the pass/fail of 48 LED locations. This time, capturing the light edges clearly was challenging, so we either reduced the exposure or narrowed the aperture to capture the particles as distinctly as possible. After that, we can only search for values that can be successfully detected while tightening the color judgment tolerance. We will summarize and report the setting values for reference, but please note that the environments differ between us and you, so having the same values does not guarantee the same results.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Steel Column Dimensions and C-Surface

[AI Image Inspection Case] Inspection of Steel Column Dimensions and C-Surface

We will inspect the dimensions of the steel column and three locations of the C surface using AI image inspection software!

We received an inquiry about the dimensions of the steel column and the inspection of the C surface through our website, and subsequently, you sent us a sample product. Our company offers a "simple evaluation service" free of charge, conducted by our technical staff. If detection and judgment can be made during the simple evaluation, we recommend conducting a "feasibility verification" test that simulates actual operation, where evaluations of processing time and judgment accuracy are performed. Additionally, we offer a free loan of demo equipment, allowing users to experience the inspection software firsthand. [Inspection Settings and Results] By using EasyInspector's "Dimension Angle Inspection" function and "Master Image Comparison" function, we were able to inspect three locations in 1.37 seconds. This inquiry came from an end user, but since our company does not design machinery for manufacturing lines, we will find an industrial machinery manufacturer to build a system incorporating our inspection software.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Red Eye Defects in Soldering

[AI Image Inspection Case] Inspection of Red Eye Defects in Soldering

We will improve the variability in the judgment criteria for "good products" and "defective products" in visual inspections through automated inspections!

There have been numerous inquiries regarding substrate inspections, and a considerable number of customers are already utilizing our services. This inquiry comes from a harness manufacturer that is active in cutting-edge wiring technology. In visual inspections conducted by workers, there is often variability in the criteria for determining "good" and "defective" products among inspectors. The more ambiguous the judgment criteria are, the more inconsistent the inspection results tend to be. We propose stable and efficient production through image inspection. 【Inspection Settings and Results】 By using EasyInspector's "comparison with master images" feature, we were able to detect differences in the positions of defects and identify similar-looking items (different products) with red eyes. The inspection time was approximately 3 seconds. We believe that inspections are relatively easy if the lighting environment is stable. The rule-based traditional image inspection software used this time and the AI (deep learning) image inspection software each have their own strengths and weaknesses. Please contact us to determine which inspection method is more suitable.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Hole Position and Presence in Rubber Flanges

[AI Image Inspection Case] Inspection of Hole Position and Presence in Rubber Flanges

The AI image inspection software detects and determines the presence and position of holes in circular rubber flanges!

This is a request for image assessment to check for holes in a circular rubber flange. It is noted that defective products either have no holes (clear points) or have very few holes, or the holes are small. Additionally, there are concerns about detecting burrs, defects on the outer circumference, and debris (clear points outside the hole positions). A sample has been sent from a company involved in ground investigation and ground improvement. 【Inspection Settings and Results】 We conducted verification of hole presence and position inspection using the sample provided. As a result, we were able to detect the hole areas and determine their positions and presence. However, if the position of the holes is also to be inspected, the following conditions are necessary: the inspection item should be fixed in place using an L-shaped fixture or similar. The orientation of the inspection item should also be set to be approximately the same. Regarding the orientation of the inspection item, please align it roughly based on the areas where numbers or letters are displayed on the surface. Using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to detect the presence or absence of holes and differences at five locations, and we could determine visually similar similar products (different items) in 0.59 seconds.

  • Image Processing Software
  • Visual inspection software

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Appearance inspection software "VIS ImageAnalyzer"

Appearance inspection software "VIS ImageAnalyzer"

Let's utilize software to automate visual inspections by leveraging existing equipment!

Do you have any concerns regarding visual inspection of electronic components and semiconductor chips, such as the following? - Variability in inspection results due to operator skill levels, leading to missed defects or over-detection - Lack of established criteria for determining what constitutes a defect - Desire to implement AI, but being told that there aren't enough defective images for training - Interest in introducing high-performance visual inspection equipment, but facing high implementation costs VIS ImageAnalyzer is software that combines algorithms developed over 30 years of experience in image analysis with the latest AI and machine learning capabilities. Its AI-powered good product comparison feature is robust against the variability inherent in visual inspections and can detect defects and dirt that are difficult to identify using traditional image processing methods, even those with little contrast. Additionally, since it can be implemented using only software, you can utilize images captured with your existing equipment. This allows you to consider implementation while keeping costs down. *For more details, please refer to the PDF document or feel free to contact us.*

  • Other inspection equipment and devices
  • Visual Inspection Equipment
  • Defect Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Labels and Leads

[AI Image Inspection Case] Inspection of Labels and Leads

We will verify the incorrect insertion of lead wires and the presence of labels using AI image inspection software!

This was the first inquiry from a customer primarily manufacturing lighting fixtures, and they are considering the use of image inspection to verify the quality of assembly. Given the current social situation, we are also accommodating meetings via web conferencing. Unless specified otherwise, we often send invitations using "Microsoft Teams," but we can accommodate any common applications such as Zoom or Skype. After understanding the overview of our systems and software, it is common for us to receive sample submissions. 【Inspection Setup and Results】 We conducted verification of incorrect lead wire connections and the presence of labels using the samples we received. By utilizing EasyInspector's "Color Comparison Inspection Function," it was possible to determine good and defective products. The inspection was completed in 2.49 seconds per inspection frame across 11 inspection frames. After reporting the simple verification, we may receive requests for specific paid verification for operational purposes. Additionally, we can lend demo units to customers free of charge for them to experience the product firsthand.

  • Image Processing Software
  • Visual inspection software

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【AI画像検査事例】板金加工品の検査

【AI画像検査事例】板金加工品の検査

板金加工品のさまざまな不良を検出し、対象の箇所に合わせた検査を行います！

精密板金のメーカーでは製品や部品の検査は欠かせません。今回は「曲げ未加工」「逆曲げ」「曲げ寸法違い」「ボール盤未加工」「BR未加工」「圧入ナット有無」「圧入ナットズレ」についての評価依頼です。 高いクオリティを維持するために弊社の検査ソフトをご検討いただいています。 【検査設定と検査結果】 EasyInspectorの「マスター画像との比較・指定色の有無検査」機能を使用することにより良品と不良の違いを検出し、見た目の似通った類似品（異品）を1秒未満で判定することができました。 EasyInspectorでは様々な検査を１回のトリガーで一度に実行できる魅力があります。 無料サンプル評価では、まず頂いたサンプルまたは画像を使用して簡易検証を行い、検証結果を報告いたします。 簡易検証ではご要望の検出/判定が可能か社内の機器で評価します。簡易検証で検出や判定できた場合、実際の運用を想定したテスト（実現性検証）を行い、処理時間や判定精度などの評価を行うことをお勧めしています。実現性検証を行う場合、弊社で引き続き行う(有償)か、弊社貸出機を使って御社で検証されるかお選び頂けます。

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Sponge Deviation and Presence of Rubber

[AI Image Inspection Case] Inspection of Sponge Deviation and Presence of Rubber

Detects sponge bias and the presence or absence of rubber!

We received a message from a trading company saying, 'We are looking for a system that can perform image inspection.' They were considering integrating it into an automatic assembly machine, receiving signals from a higher-level control device, conducting imaging and judgment, and returning the judgment results to the higher-level control device. Many trading companies and industrial equipment manufacturers repeatedly purchase our inspection software because it is easy to integrate and sold as a one-time purchase. As a result of testing with the sample products we have, we found that it is possible to detect the bias of the sponge and the presence of rubber using EasyInspector's 'Presence of Specified Color Inspection.' For the sponge bias, the setting is that if a color other than the sponge is detected, it is considered a failure. For the presence of rubber, black is designated as the specified color within the inspection frame, and if rubber is present, detecting black results in a pass. The light blue fluorescent pixels in the image indicate the detected specified color.

  • Visual Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Surface Scratch Inspection of Resin Products

[AI Image Inspection Case] Surface Scratch Inspection of Resin Products

We will conduct surface scratch detection on resin products using AI image inspection software.

This is an inquiry from a sports equipment manufacturer. We will conduct surface scratch detection on resin products. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, please feel free to contact us at any time. 【Inspection Settings and Results】 An inspection frame was installed at one location on the inspection surface, and settings were made using EasyInspector's "Scratch Detection" function. Detection was possible in 0.47 seconds. The lighting was set to make scratches appear black on the surface, and each value was adjusted to detect the black areas. Since no scratches exceeding the set values were detected in good products, they were deemed "pass." In defective products, the scratched areas appeared black and exceeded the set values, resulting in a "fail" judgment. The surface of the NG products appeared brighter around the scratches, making the scratched areas stand out more. However, if they had appeared with brightness similar to that of good products, it would have been necessary to adjust the detection sensitivity. In that case, sensitivity would be adjusted to a higher setting, which may increase the likelihood of false judgments. The installation position of the inspection items was set without "shift correction" on the premise that it would be fixed in the same position each time.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Defect Inspection of Crimp Terminals

[AI Image Inspection Case] Defect Inspection of Crimp Terminals

We will determine the presence or absence of crimping on the harness cable with connectors, the color order of the colored wires, and the confirmation of tightening screws at four locations on the circuit board!

This is an inquiry from a specialized trading company in automatic control. It involves determining whether crimping is present on harness cables with connectors, assessing the color order of about eight bundled colored wires, and confirming the tightening of screws at four locations on the circuit board. It seems that there are multiple types of cables, and this time we decided to utilize the strengths of both DeepSky and EasyInspector for the evaluation. 【Inspection Settings and Results】 Since the inspection items for insertion errors and defective crimp terminals are different, we verified each with separate software. For the cable insertion errors, we used EasyInspector to check for the presence of specified colors, while the inspection for defective crimp terminals was verified using the software DeepSky. Each software has its strengths and weaknesses. → EasyInspector struggles with inspections that have an infinite number of patterns. → DeepSky is not good at determining when one out of several colors is different. The left image shows the detection frame from DeepSky, and the right image shows the detection results from EasyInspector.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Terminal Inspection

[AI Image Inspection Case] Terminal Inspection

We will conduct inspections of four terminal items using AI image inspection software!

One important aspect that wire harness manufacturers focus on is clearly distinguishing their products from similar ones. Therefore, it is necessary to inspect whether "the engraving is marked within the specified range." Other inspection items include checking for "the presence of a retainer and whether it is partially inserted," "whether the connector is dirty," and "whether the position from the taped wiring to the retainer is correct," all of which were visually inspected. However, inspecting each item visually has drawbacks, such as wasting time and lacking sufficient accuracy. As a result, we considered whether there was a way to inspect efficiently and accurately, leading us to try using image processing software. [Inspection Settings and Results] This time, we will inspect the following four items: (1) "Presence of engraving" (2) "Hair contamination" (3) "Red foreign objects" (4) "Partial insertion of the retainer"

  • Image Processing Software
  • Visual inspection software

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[Ending March 2024] AI Appearance Inspection Software Trial Campaign

[Ending March 2024] AI Appearance Inspection Software Trial Campaign

From January to March 2024, you can use the development license for 298,000 yen (tax excluded) or 327,800 yen (tax included) for a period of three months.

This is a limited-time campaign for HACARUS Check AI software. Please contact us as soon as possible. ■ About the Target Customers Those who are promoting the automation of visual inspections and have the following challenges: - Considering the introduction of AI and want to try it with reduced initial costs - Already have inspection equipment and want to improve AI accuracy - Have attempted to implement AI but could not due to reasons such as functionality or cost - Have introduced AI but are experiencing excessive detection due to temporal changes in parts ■ About HACARUS Check AI Software This is an AI visual inspection software that can repeatedly perform small quantity, good quality, and rapid learning. It can train the AI with dozens of good products in just a few minutes each day, and it can conduct inspections while minimizing excessive detection even for workpieces whose colors and shapes change over time. HACARUS's AI is based on sparse modeling technology, which extracts features from a small amount of data and performs learning and inference, compared to deep learning that requires a large amount of training data. This allows for high-precision operation with minimal data, enabling the construction and operation of systems while keeping costs and time down.

  • Image Processing Software
  • Visual Inspection Equipment
  • Defect Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Text, Shrinkage, and Barcodes

[AI Image Inspection Case] Inspection of Text, Shrinkage, and Barcodes

We will conduct verification of the presence or absence of the text on the bottom of the bottle, the presence or absence of shrink wrap, and the readability of the label's barcode!

Samples have arrived from a customer who plans to incorporate the following inspections into the current line: inspection for the presence or absence of bottle cap shrink, inspection for the presence or absence of printing on the bottom of the bottle, complete inspection of labels' barcodes (two-dimensional transparent) within the inline labeler, complete inspection of barcodes on inner packaging boxes (black two-dimensional on coated cardboard), and complete inspection of barcodes on outer packaging boxes (two-dimensional black on cardboard). 【Inspection Settings and Results】 All three types of inspections were determined to be satisfactory. For verifying the presence or absence of text on the bottom of the bottle and the presence or absence of shrink, we used EasyInspector's "Specified Color Presence Inspection" feature. An inspection frame was set up for the bottom text, and it is configured to pass if white is detected within that frame. The inspection frame can also be set to a ring shape as an optional feature. The presence or absence of shrink is determined by the amount of direct reflection (white) from ring lighting. For reading the label barcodes, we utilized EasyInspector's "Bar/QR Code Reading" feature, which allows for reading barcodes with black on a white background or white on a black background, and the barcode can be rotated during processing for reading.

  • Image Processing Software
  • Visual inspection software

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AI General Purpose Appearance Inspection Software 'EasyInspector2'

AI General Purpose Appearance Inspection Software 'EasyInspector2'

A versatile AI visual inspection software packed with various features in one package! Easy to implement and operate, it supports diverse inspections with AI and rule-based methods.

"EasyInspector2" is a general-purpose AI visual inspection software that combines AI image processing with rule-based processing. Even without specialized knowledge in image inspection, you can start inspecting immediately with just installation and camera connection. ■ It can be configured with no code, allowing for a variety of inspections such as defect detection, dimension measurement, and OCR to be executed in one stop. ■ It is easy to implement as a one-time purchase package with no operational costs, and additional features can be added later. ■ Up to five cameras can be connected to a single PC, providing flexibility for product changes and line additions. ■ It also includes traceability features such as integration with external devices, CSV output, and image storage. With over 2,500 implementations in industries such as manufacturing, logistics, food, and electronics, it is a high-cost-performance image inspection solution that supports quality improvement, reduction of work time, and labor cost savings. *For more details, please refer to the PDF document or feel free to contact us.

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  • Visual Inspection Equipment
  • Visual inspection software

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"AI Visual Inspection in Agriculture" enables automation with image inspection software.

"AI Visual Inspection in Agriculture" enables automation with image inspection software.

Free from manual work! Detecting defects such as scratches and automating difficult grade sorting with AI image inspection!

Do you have any of these concerns? ■ It takes a lot of time for manual work ■ Grade classification is difficult, leading to oversights in visual inspections ■ Relying on hired labor increases labor costs ■ While skilled workers are aging, there are no successors Automate with image inspection software! 1) The defect detection tasks that were done manually can be automated ⇒ Detect scratches, discoloration, dirt, etc., and reduce work time! 2) Difficult grade classification can be easily done by anyone ⇒ Various rules can be used for differentiation! Free yourself from manual work! 3) Operate from a single computer! Start at a low cost ⇒ Significantly reduce implementation costs! Keep the number of workers to a minimum and reduce labor costs! Prevent oversights in visual inspections and enhance quality value! You can start small without the need for large machinery! 【Inspection Examples】 ■ Classification of tomatoes by size ■ Classification of flower types ■ Identification of corn seeds ■ Differentiation of tea leaf types ■ Inspection of orange blemishes ■ Detection of defects in coffee beans *For more details, please see the related links.

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  • Visual Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Silver Wire Glass

[AI Image Inspection Case] Inspection of Silver Wire Glass

It determines the detection of defects and smudges in silver paste conductive bonding!

Sintering with silver paste causes less damage to the materials compared to soldering, and it can be said that this material will be used more widely in the future as a substitute for solder. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect both chipping and smudging in 0.40 seconds by applying one inspection frame to the entire area. The size (resolution) per pixel is approximately 7μm (0.007mm). In actual operation, our "sm＠rtROBO" is used to move the inspection area while being inspected by a single camera. 【Software and Equipment Used】 Software Used: EasyInspector Field of View: 14 mm Minimum Size of Inspection Target: Approximately 7μm (0.007mm) Number of Inspection Points: 1 Camera Resolution: 5 million pixels Lens Focal Length: Not recorded Distance Between Lens and Product: 95mm Lighting: Backlight illumination The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection].

  • Image Processing Software
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[AI Image Inspection Case] Monitoring of Manufacturing Machinery

[AI Image Inspection Case] Monitoring of Manufacturing Machinery

We will monitor the manufacturing machines using AI image inspection software!

This is an inquiry regarding the monitoring of manufacturing machines from manufacturers of drive recorders and car navigation systems installed in vehicles. We have received six images for monitoring, and we are inquiring about the settings tailored to each reading. Our company website offers a free trial of the inspection software. Since the suitability of the inspection software varies depending on the work, please feel free to contact us if you have any questions. 【Inspection Settings and Results】 For three of the images, we are using the "Specified Color Presence Inspection" function to detect the color when illuminated, and we determine pass or fail based on whether it is detected or not. Images D and E utilize the "Meter Reading Function," but we believe there may be variations in lighting between the upper and lower parts of the meter, so illuminating the lower part, which tends to be darker, with bar lighting or similar would likely reduce false detections. Regarding image F, reading is possible with the image you provided. Additionally, some minor adjustment for misalignment is possible, but fixing the camera is essential.

  • Image Processing Software
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